SOTAVerified

Image Compression

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 376–400 of 1008 papers

TitleStatusHype
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression—0
Domain Adaptation for Learned Image Compression with Supervised AdaptersCode0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Lossy Image Compression with Foundation Diffusion Models—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
Fine color guidance in diffusion models and its application to image compression at extremely low bitrates—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness—0
Neural Image Compression with Quantization Rectifier—0
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis—0
Powerful Lossy Compression for Noisy Images—0
Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Overfitted image coding at reduced complexity—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
Noise Dimension of GAN: An Image Compression Perspective—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Probing Image Compression For Class-Incremental Learning—0
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All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48—Unverified
2WACNNBD-Rate over VTM-17.0-2.95—Unverified
3ELICBD-Rate over VTM-17.0-5.95—Unverified
4MLICBD-Rate over VTM-17.0-8.05—Unverified
5SegPICBD-Rate over VTM-17.0-8.18—Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14—Unverified
7MLIC+BD-Rate over VTM-17.0-11.39—Unverified
8MLIC++BD-Rate over VTM-17.0-13.39—Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42—Unverified
2JPEG2000bpsp6.35—Unverified
3L3Cbpsp4.76—Unverified
4MS-PixelCNNbpsp3.95—Unverified
5iFlowbpsp3.88—Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410—Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified